NABARD Recruitment 2025 for Data Engineer and Others: Check Age, Qualification, Pay Scale and Selection Process

NABARD Recruitment 2025 for Data Engineer and Others, NABARD, an all-India apex organization under the complete ownership of the Government of India and an equal opportunity employer, is inviting online applications from eligible Indian citizens. Applications are open for the contractual engagement of five (05) Specialists at its Head Office in Mumbai. Interested candidates with the requisite qualifications and experience can apply exclusively through the NABARD website (www.nabard.org) from 16 June 2025 to 30 June 2025, using the prescribed online format.

Prospective candidates are strongly encouraged to thoroughly check the official website and notification before submitting their application. Direct links to both the official website and the detailed notification are provided below for easy access.

Last Date of Application: 16^th June to 30^th June 2025

Table of Contents

Vacancy Details (NABARD Recruitment 2025 for Data Engineer and Others)

Sr. No.	Name of the Post	SC	ST	OBC	UR	Total
1	Data Scientist/ AI Engineer	–	–	1	1	2
2	Data Engineer	–	–	–	1	1
3	Data Scientist-cum-BI Developer	–	–	–	1	1
4	Specialist – Data Management (Subject Matter Expert)	–	–	–	1	1

Eligibility Criteria (NABARD Recruitment 2025 for Data Engineer and Others)

Position wise job eligibility criteria are given below:

Data Scientist/ AI Engineer

Category	Details
Age	25 to 35 years
Qualification	Mandatory: Full-Time B.E./B.Tech (First class, minimum 60%) or equivalent OR M.E./M.Tech/MCA in Computer Science, IT, Data Science, Machine Learning, or AI. Preferred: Certification in Data Science, AI, ML, NLP, Web Crawling, or Neural Networks.
Experience (Essential)	1. Minimum 3 years of post-qualification experience in the relevant field, including: a) 2+ years with R/Python for data science b) 2+ years in model development/validation c) 2+ years in data analytics d) 2+ years with RDBMS or NoSQL (including Graph DBs) 2. Cloud-based application/service development 3. Experience with NLP, Web Crawling, and Neural Networks 4. Projects using ML/AI technologies 5. Excellent communication & teamwork in multicultural environments 6. Full pipeline experience: data extraction to model validation 7. Experience as a developer in a project environment 8. Preference to experience in finance, banks, NBFCs, insurance, investment firms
Mandatory Skill Set	1. Data modeling/database design, mining, segmentation 2. Expertise in ML technologies 3. Testing & validation of AI models 4. Modeling using structured/semi/unstructured data 5. Analytical DBs like Vertica or similar 6. Data intelligence/cataloging (e.g., Alation) 7. SQL (DDL/DML/DQL)
Desirable Qualities	1. Knowledge of data models & dimension modeling 2. Experience with Conversational AI & dialogue systems 3. Understanding of explainable/responsible/ethical AI 4. Data protection techniques (encryption, masking, tokenization) 5. Designing secure cloud solution architectures 6. Tools: Nifi, HBase, Spark, Pig, Storm, Flume 7. Experience with BI tools 8. Advanced MS Excel analytics 9. LLM deployment expertise

Data Engineer

Category	Details
Age	25 to 35 years
Qualification	Essential: Full-Time B.E./B.Tech. (First class, minimum 60%) or equivalent / M.Tech/ M.E./ MCA in Computer Science / Information Technology Desirable: Certifications such as Oracle Certified Professional, Microsoft Certified Database Administrator, Cloudera Certified Administrator
Experience (Essential)	1. 5+ years of post-qualification experience 2. 3–5 years’ experience in BFSI sector preferred 3. Experience in design, installation, configuration, and maintenance of database systems; monitoring, tuning, and troubleshooting 4. Managing disk/database space, CPU, memory, cache, and complex ETL architecture 5. Disaster recovery planning and execution 6. Creation/modification of database schemas, tables, views, indexes, triggers, stored procedures, etc. 7. Proficiency in SQL, PL/SQL, Oracle, MySQL, PostgreSQL, and dimensional modeling concepts 8. Experience in API Management Platforms and optimizing performance 9. Participation in code reviews and ensuring adherence to best practices 10. Unit test development and API documentation 11. Mentoring junior data modelers 12. Enforcing data naming conventions and reuse standards
Desirable Skills	1. Understanding of authentication/authorization protocols (OAuth, JWT, SAML, Kerberos) 2. Familiarity with tools like Swagger/OpenAPI for API documentation 3. Knowledge of version control systems and agile methodologies 4. Experience with containerization and orchestration tools 5. Business acumen and interaction with stakeholders 6. BFSI domain experience and familiarity with core banking data 7. Collaboration with cross-functional teams for feature implementation

Data Scientist-cum-BI Developer

Category	Details
Age	23 to 30 years
Qualification	Mandatory: Full-Time B.E./B.Tech (First Class – minimum 60%) or equivalent OR M.E./M.Tech/MCA in Computer Science, IT, Data Science, Machine Learning, or AI Preferred: Certification, assignments, or projects in Data Science, AI, ML, NLP, Web Crawling, or Neural Networks
Experience (Essential)	1. Minimum 1 year of post-qualification experience in ML/AI projects or assignments 2. Hands-on experience in ML/AI technologies 3. Strong communication skills and ability to work in multicultural teams 4. Full cycle experience from data extraction to model validation 5. Developer experience in project-based environments 6. Preference to experience in BFSI sector (banks/NBFCs/insurance/investment firms) Note: Work experience must be supported by certificates from previous employers
Mandatory Skill Set	1. Data modeling, database design, mining, and segmentation techniques 2. Machine Learning technologies expertise 3. Model testing and validation 4. Development using structured, semi-structured, and unstructured data 5. Analytical databases like Vertica DB or similar 6. Data modeling/intelligence and cataloging with tools like Alation 7. SQL (DDL/DML/DQL)
Desired Skill Set	1. Understanding of data models and dimension modeling 2. Experience with Conversational AI and dialogue systems 3. Familiarity with explainable and ethical AI frameworks 4. Knowledge of data protection methods (encryption, masking, tokenization) 5. Designing secure cloud architectures (private/public/hybrid) 6. Experience with tools like Nifi, HBase, Spark, Pig, Storm, Flume 7. BI tools proficiency 8. Advanced MS Excel data analytics 9. Expertise in usage and deployment of LLMs

Specialist – Data Management (Subject Matter Expert)

Category	Details
Age	30 to 40 years
Qualification	Master’s Degree in any discipline from a recognized university
Experience (Mandatory)	1. 5–7 years of experience in the development sector with reputed national/international organizations, NGOs, or CSR initiatives as a project implementor, consultant, or supervisor (preference for experience with national/international organizations) 2. Hands-on experience in implementation of development and/or environmental projects (supported by certificates) 3. Experience in stakeholder coordination, training & development, and project management (supported by certificates)
Desired Experience/Skills	1. Proficiency in data analysis, MIS, dashboards, and pivot tables in MS Excel 2. Strong problem-solving, strategy, and planning skills 3. Experience in implementing grant-based/CSR projects with measurable output indicators 4. Excellent communication skills 5. Experience in designing and developing data capturing tools for analysis 6. Understanding of CSR and non-profit organizational functioning 7. Ability to align development work with ESG, SDGs, climate goals, and sustainable practices 8. Competence in preparing data wireframes for impact evaluation 9. Awareness of UN SDGs and Green Bond impact metrics 10. Ability to develop policies, implementation strategies, and impact assessment tools/models/MIS 11. Skills in development budget planning, monitoring, and review 12. Domain knowledge in thematic areas such as rural development, livelihoods, education, health, environment, and climate change

How to Apply? (NABARD Recruitment 2025 for Data Engineer and Others)

Candidates are requested to apply only ON-LINE through Bank’s website www.nabard.org. No other mode of submission of application will be accepted by NABARD.

After applying for the post online, candidates are advised to forward their CV and certified CTC proof to the following email id – info.ddmabi@nabard.org

Help Facility: In case of any problem in filling up the form, payment of fee/intimation charges, complaints may be made at “Candidate Grievance Lodging and Redressal Mechanism” at http://cgrs.ibps.in/ . Do not forget to mention “NABARD – Recruitment to the post of Specialists on contract” in the subject of the email.

Selection Process (NABARD Recruitment 2025 for Data Engineer and Others)

1) The selection will be by way of interview. The candidates will be shortlisted for interview in the ratio of 1:3 on the basis of qualification, experience, etc.

2) Seleted candidates will have to undergo pre-recruitment medical examination. Final appointment will be done only to those candidates who are declared medically fit by Bank’s Medical Officer.

3) The Bank reserves the right to increase/ decrease the number of post/s or cancel the above contract recruitment in part or full as per institutional requirement without assigning any reason. The roll numbers of candidates shortlisted for interview & subsequent selection shall be published on Bank’s website viz. www.nabard.org. The decision of the Bank in shortlisting candidates for interview & selecting them for appointment based on minimum qualifying standard shall be final and no correspondence will be entertained in this regard.

The final appointment will be based on the decision of the Selection Committee constituted for the purpose.